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- Tasks: Design and develop enterprise data models for complex government programmes.
- Company: Join a leading consultancy in the Defence and Public Sector.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with flexible working options.
- Why this job: Make a real impact on ambitious projects while mentoring future data leaders.
- Qualifications: Experience in data architecture and governance; SC clearance required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is growing their Data and AI Architecture team and is looking for a Senior Data Architect to work across some of the UK's most complex and ambitious government programmes. You'll need SC clearance and deep hands-on experience in enterprise data architecture, data governance, and AI strategy. If you're ready to step into a high-impact consultancy role in the Defence and Public Sector space, this one is worth a look.
Working Patterns and location – Hybrid – 2-3 days on site per week.
The Key Responsibilities of a Data Architect:
- Develop enterprise Conceptual, Logical and Physical Data Models conforming to national and international standards.
- Analyse existing client Data Architecture landscapes and define target state solutions.
- Provide Data Architecture oversight to ensure scalable, reliable and maintainable systems.
- Lead and mentor junior Data Architects, Data Analysts, Data Modellers and AI Engineers.
- Lead and manage organisation-wide Data Governance activities and ensure policy adherence.
- Lead Data and AI Proof of Concepts, pilots and experiments for client engagements.
- Act as escalation point for Data Governance, Data Quality and Data Protection issues.
- Contribute to proposal writing, presentations and pre-sales activities to drive opportunity development.
Key Skills required for a Data Architect:
- Deep enterprise Data Architecture experience in industry or a consulting environment.
- Strong experience in data solution architecture including design principles, solution patterns and architecture methodologies.
- Expertise in Data Lake, Lakehouse and Data Mesh architecture.
- Proven ability to manage executive-level stakeholders and build strong client relationships.
- Strong data modelling experience across large, complex organisations including dimensional modelling and data vault.
- Expert knowledge of SQL databases with working knowledge of columnar, NoSQL, predictive analytics and data visualisation.
- Experience of Data Ontology including Data Catalogue, Data Dictionary and Data Lineage.
- Solid understanding of Data Governance principles and platforms such as Collibra and Informatica.
The client would also like to see some of the below, but this is not essential:
- Industry-recognised certifications such as DAMA CDMP, TOGAF or cloud platform certifications (AWS, GCP, Azure).
- Experience with Observability and FinOps (Financial Operations) practices.
- Good understanding of regulatory and compliance requirements including GDPR.
- Experience of working across multiple deployment models including on-premises, public cloud, private cloud and hybrid.
- Prior consulting experience working on client-facing government or public sector programmes.
Our client is committed to providing a diverse and inclusive workplace and welcomes applications from all backgrounds. Part-time opportunities/flexible working is available to suit individual needs.
Data Architect in City of London employer: Datasource Recruitment
Contact Detail:
Datasource Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data architecture or related fields. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data architecture. We recommend practising common interview questions and scenarios that might come up, especially around data governance and AI strategy.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies of your previous projects that highlight your experience with enterprise data architecture and governance. This will give you an edge when discussing your qualifications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Data Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience in enterprise data architecture and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don't forget to mention your experience with data governance and AI strategy.
Showcase Your Technical Skills: We love seeing technical expertise! Be sure to include your knowledge of SQL databases, data modelling, and any certifications you have. This will help us understand your depth of experience in the field.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Datasource Recruitment
✨Know Your Data Architecture Inside Out
Make sure you brush up on your enterprise data architecture knowledge. Be ready to discuss your hands-on experience with data models, governance, and AI strategy. Prepare examples of how you've tackled complex data challenges in previous roles.
✨Showcase Your Leadership Skills
As a Senior Data Architect, you'll be leading and mentoring others. Think of specific instances where you've guided junior team members or managed stakeholders. Highlight your ability to build strong client relationships and how you've contributed to successful projects.
✨Familiarise Yourself with Compliance and Governance
Since the role involves data governance and compliance, ensure you're well-versed in principles like GDPR and platforms such as Collibra. Be prepared to discuss how you've implemented governance frameworks in past projects and the impact they had.
✨Prepare for Technical Questions
Expect technical questions about SQL databases, data modelling, and architecture methodologies. Brush up on your knowledge of Data Lakes, Lakehouses, and Data Mesh architectures. Practising these concepts will help you articulate your expertise clearly during the interview.